Define the decision
Agree the business problem, boundaries and evidence needed before work begins.
A focused engagement starts with the decision you need to make and ends with evidence your team can use.
Agree the business problem, boundaries and evidence needed before work begins.
Compare configuration and behaviour. Separate confirmed findings from assumptions.
Agree the change, rehearse it where appropriate and record the test outcomes.
Give your team the evidence, owners and next steps needed to carry on.
I can work alongside your administrators, developers, delivery partner and business owners.
Findings distinguish observed evidence from hypotheses. Changes follow the agreed approval process; production investigation is read-only unless a specific change is authorised.
Handover includes the evidence, agreed actions and retest criteria. A client owner remains responsible for business acceptance and release decisions.
Yes. A named release, failing journey or recurring defect is often the best starting point. If the problem is broader, an org diagnostic can establish priorities.
Implementation can be included in a scoped engagement or agreed after investigation. The proposal makes that distinction clear, including the verification and handover.
After an initial discussion of the problem, access and scope, I prepare a proposal with fees, milestones and included work. There is no generic price that assumes every org is the same.
Only the access relevant to the agreed work. We confirm environments, permissions and information-handling expectations before investigation begins.
The handover explains what was tested, what was ruled out, remaining hypotheses and the evidence needed next. An investigation does not turn uncertainty into an unsupported guarantee.
Ongoing operational assurance is available as a separately scoped engagement with agreed cadence, response hours and capacity.
AI can support the investigation. I remain responsible for the analysis, recommendations and work delivered.
How AI and your information are handled ↗Before AI is used with your information, we agree what it may access and where it may be processed. Options include local models, your approved AI environment, or a scoped approach without generative AI.
ContextDigger can help organise the code and documentation supplied to an assistant. Findings are checked against source evidence, and changes follow your approval and testing process.
Explore AI enablement services ↗A release that feels uncertain. A journey that keeps breaking. An org nobody fully understands.